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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 12-RES-JB
    11. 3360
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    Explanations

    information related to different species and their dependence on urban habitats

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    information about different species and their conservation status

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Drug
    -0.80
    aceutical
    -0.74
    CPU
    -0.74
    ionics
    -0.72
    system
    -0.71
    scenes
    -0.71
    videos
    -0.69
    DI
    -0.68
    odcast
    -0.68
    objects
    -0.68
    POSITIVE LOGITS
     golden
    0.99
     grey
    0.98
     pron
    0.96
     gray
    0.95
     lyn
    0.94
     retri
    0.93
     Euras
    0.92
     Stafford
    0.90
     spotted
    0.89
     striped
    0.89
    Activations Density 0.169%

    No Known Activations